Explore AI Agent Skills & Claude Prompts
Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.
Enter through keywords, occupations, creators, and GitHub sources to see what kinds of skills are emerging across domains.
Use the same catalog through the API
Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
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codex-paper-figure-skill
by pengqianhanCreate editable academic-paper figures from natural-language figure descriptions, manuscript sections, methods/results text, graphical abstract ideas, or paper-specific visual concepts. Use when Codex needs to turn scientific text into a polished journal-style diagram by first generating a raster visual reference with the image generation tool, then recreating it directly as editable draw.io/.drawio mxGraphModel XML. Also use when a user asks for research figures, paper diagrams, mechanism figures, method overview figures, model architecture figures, workflow schematics, publication-ready editable diagrams, or Flaticon/icon-assisted paper figures using Codex's built-in Browser.
nz-travel-planner
by pengqianhanNew Zealand travel planning skill — use this whenever someone wants to plan a road trip or multi-day trip in New Zealand, especially in the Auckland Northland / Bay of Islands region. Triggers when the user mentions visiting NZ attractions (Cape Reinga, Bay of Islands, Paihia, Kerikeri, Whangarei, Matakana, Ninety Mile Beach, Te Paki Sand Dunes, Waitangi, etc.), asks for NZ accommodation recommendations or Airbnb searches, wants a NZ itinerary or travel guide, or asks about booking tours and activities in New Zealand. Even if the user just says "help me plan a trip to New Zealand" or "I'm going to Auckland and want to explore north", use this skill.
travel-planner
by pengqianhanUniversal travel planning skill for multi-day road trips and city-hopping itineraries anywhere in the world. Use this whenever someone wants to plan a trip to any country or city, find accommodation (Airbnb or hotels) with real-time availability checking, build a day-by-day itinerary, research and book tours or activities, or get a complete clickable travel guide they can use to book everything. Triggers on any travel planning request such as "help me plan a trip to Japan", "road trip in Europe", "weekend in Sydney", "best things to do in Iceland", "find me an Airbnb in Barcelona", or Chinese requests like planning trips to Thailand, Japan, Australia, etc. Even if the user just describes destinations without asking explicitly for a plan, use this skill. Has deep built-in knowledge for New Zealand Northland (references/nz-northland.md) and accumulates examples from past plans.
nz-public-transport
by pengqianhanExplain how to start using public transport in New Zealand cities, including transport cards, local transit apps, airport-to-city setup, fare basics, student concessions, and city-specific differences such as Auckland, Wellington, and Christchurch. Use when Codex needs to help a user get around after arrival or compare transport setup steps by city. For current fares, concession rules, app names, and card availability, verify the latest official local transport authority sources first and update the skill reference if information has changed.
kiwi-access-card
by pengqianhanAnswer questions about New Zealand Kiwi Access Card eligibility, online versus in-person application, required documents, fees, processing times, and form interpretation. Use when Codex needs to explain Kiwi Access Card rules from AA, Kiwi Access official pages, or the official PDF form, especially for international students, overseas passport holders, or users asking whether they can apply and how. For any request involving current policy, latest rules, current fees, or live application support, verify against official websites first before answering and update the skill references if the policy has changed.
hpq-xray-paper
by pengqianhanPaper X-ray. Extracts what the paper says (problem-perspective-result) and what it means for hpq (cognitive delta cards in ASCII art). Use when user shares an arxiv link, paper URL, PDF, or asks to analyze a research paper. Usually called via hpq-xray router. Do NOT use for blog posts or non-academic articles (use hpq-xray-article instead).
nz-skill-creator
by pengqianhanCreate or update skills inside the NZ Life Skills repository while keeping package docs, manifests, and bundle-level agent indexes in sync. Use when Codex needs to add a new repository skill, update an existing skill's package metadata, register a skill in docs/skills.json and docs/bundles.json, refresh docs/.well-known/agent-skills/*, or keep README and docs pages aligned with the repository's bundle structure. Triggers include requests like "add a new skill to this repo", "update all affected indexes and manifests", "register this skill in NZ-life-skills", or "use the add-skill-template workflow".
nz-renting-basics
by pengqianhanExplain the basics of renting in New Zealand for international students, including common application documents, flatting versus renting, bond and rent expectations, tenancy setup, move-in checks, and practical first-week housing questions. Use when Codex needs to help a user understand rental setup, compare housing paths, or read tenancy-related documents. For any current legal rule, notice period, bond handling detail, or official tenancy process, verify the latest official government tenancy guidance first and update the skill reference if information has changed.
nz-phd-supervisor-list
by pengqianhanBuild and maintain a source-grounded shortlist of New Zealand PhD supervisors, combining official university profile details, research-fit signals, supervision accreditation where available, and clearly labelled student-submitted mentoring anecdotes. Use when Codex needs to collect, compare, update, or answer questions about potential doctoral supervisors in New Zealand while avoiding unsupported reputational claims.
nz-mobile-connectivity
by pengqianhanExplain how new arrivals in New Zealand can choose and activate mobile service, including prepaid versus plan, SIM versus eSIM, airport setup, top-up, data usage, number portability, and common student tradeoffs. Use when Codex needs to answer NZ mobile setup questions for international students or visitors. For current carrier pricing, coverage details, promotions, eSIM support, or plan recommendations, verify the latest official carrier pages first and update the skill reference if information has changed.
nz-ird-number
by pengqianhanExplain how to apply for and use a New Zealand IRD number, including eligibility, required identity documents, tax setup, and common first-arrival questions for international students and new migrants. Use when Codex needs to answer IRD number questions, compare online versus manual application paths, explain what documents are usually needed, or help a user understand post-approval setup such as tax codes and linking the IRD number to employment or banking. For any current rule, official form, timing, or fee question, verify the latest Inland Revenue guidance first and update the skill reference if policy has changed.
nz-healthcare-access
by pengqianhanExplain how international students and new arrivals can access healthcare in New Zealand, including GPs, urgent care, pharmacies, student health services, medical registration basics, and how to decide where to go for common non-emergency issues. Use when Codex needs to answer practical healthcare-access questions for daily life in New Zealand. For current eligibility, pricing, clinic availability, enrolment rules, and emergency or urgent-care instructions, verify the latest official health or provider sources first and update the skill reference if information has changed.
Browse Agent Skills by Occupation
23 major groups · 867 SOC occupations
Browse by Category
Explore agent skills organized by their primary use case
Explore the agent skills ecosystem by occupation and creator
SkillMD is not just a keyword search box. It is an open map that organizes public skills by occupation, creator, and repository, helping you see which workflows, judgment criteria, and domain habits people are writing for AI agents.
Then follow creators and GitHub repositories back to the source: compare the skills a team maintains, whether the repo is active, and how the README frames the work before you open, install, or reuse anything.
Use it three ways: learn an unfamiliar field by occupation, study how creators organize skills, then use source context to decide what is worth opening or reusing.
01 Map a field
Browse 23 occupation groups and 867 SOC roles to learn what skills exist in adjacent domains and how they break down real work.
02 Follow creators
Use creator and repository pages to inspect maintained skill collections, recent updates, and source context before trusting a result.
03 Search with sources
Search 1.7M+ collected skills, then use occupation tags, creators, and GitHub source context to decide what is worth opening.
Start with the occupation map, then follow creators and repositories back to real code. SkillMD helps explain why a skill is worth opening, not only what it is named.
Standardizing Agent Capabilities with SKILL.md and Model Context Protocol (MCP)
In the rapidly evolving landscape of artificial intelligence, LLM agents (Large Language Model agents) have transitioned from simple text predictors to autonomous problem solvers. To orchestrate complex, multi-step agentic workflows, developers require a standardized format to specify agent capabilities, prompt instructions, system rules, and database bindings. This is where SKILL.md and the Model Context Protocol (MCP) have emerged as standard developer paradigms. SkillMD serves as the central directory for indexing, exploring, and sharing these critical agent configurations.
Our open-source registry currently tracks over 1.7 million collected SKILL.md configurations and system prompts. By compiling agent configurations from active developers on GitHub, we bridge the gap between prompt engineering research and production execution. Whether you are building agents with Anthropic's Claude Code, OpenAI's GPT-4, Google's Gemini, or local models using Ollama and LlamaIndex, standardized skill definitions ensure your agents behave predictably across different runtime environments.
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open-source standard designed to connect LLMs to data sources, developer tools, and external environments. MCP establishes a bidirectional communication channel between client applications (like Cursor, Claude Desktop, or custom agent systems) and servers hosting data or capabilities. Standardizing instructions via SKILL.md enables LLMs to query databases, read local files, execute terminal commands, and integrate third-party APIs. SkillMD allows you to find ready-to-run MCP servers and prompt instructions for various occupations and technical tasks.
The Structure of a Professional SKILL.md File
A valid SKILL.md configuration is designed to be easily read by humans and parsed by LLMs. It contains precise system instructions, trigger conditions, required parameters, and execution examples. Below is the typical architectural blueprint of a professional agent skill:
- Metadata & Core Scope: Declares the name of the skill, author details, target models, and a description of the capability.
- Triggers & Intent Detection: Details semantic triggers that help the agent decide when to invoke this skill.
- System Prompts: Explicit system-level instructions that direct the agent's behavior, personality, safety guardrails, and formatting preferences.
- Capabilities & Tools: Lists the files, databases, or APIs the agent must access to complete the tasks.
- Few-Shot Examples: Demonstrates real inputs and outputs, helping the model generalize behavior through in-context learning.
Optimizing Agent Workflows for Modern LLMs
Writing effective agent skills requires deep knowledge of prompt engineering. With the release of advanced reasoning models like Claude 3.5 Sonnet, ChatGPT o1, and DeepSeek-V3, prompt templates must focus on structured thinking. Developers are encouraged to use XML tags (e.g., <thought>, <context>, and <rules>) to isolate execution boundaries. Standardized prompts prevent agents from suffering from context drift, ensuring that long-running tasks remain aligned with the initial system parameters.
Exploring by SOC Occupations and Creator Profiles
What makes SkillMD unique is its taxonomy. Instead of simple text search, we parse and organize files according to the Standard Occupational Classification (SOC) system. This means you can discover skills written for Computer and Mathematical roles, Business and Financial operations, Legal, Design, and and Educational Instruction fields. By tracking creator profiles, developers can study how different teams organize their custom instructions, compare version updates, and fork public configs for specialized enterprise use cases.
SkillMD operates as a high-performance index running on a fast Go backend and a highly responsive Astro SSR frontend. All search queries execute in milliseconds, featuring smart debouncing to prevent multiple API requests while keeping user data secure. Join our community of developers to standardize your AI agent instructions and optimize your LLM prompting workflows today.
Frequently Asked Questions
A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.